Customer Stories

TRANSFORMING THE WAY THE WORLD WORKS NEED Automated parking systems are not new to the industry— mechanical solutions have been used for over 100 years. In fact, the first use of an automated parking system was in Paris, France in 1905 at the Garage Rue de Ponthieu. It was an elevator to transport cars to various levels where attendants manually parked the cars. However, effective high-density car storage solutions require vehicles to be moved from outside to inside and parked with high-precision navigational accuracy. To avoid the costs of human drivers, a smart and fully autonomous system is required. Centimeter-level localization is vital so that these robots are able to navigate these vehicles in a canyon of cars and narrow alleys without damage or injury. CHALLENGE The Stanley Robotics team needed to combine perception algorithms and intelligent management software with reliable GNSS technology to achieve centimeter-level localization for a safe and efficient solution. Anthony Troublé, Robot Team Overview Founded in 2015, Stanley Robotics is a developer of smart and high-density car storage solutions for the airport and car logistics industries. The three founders, Clément Boussard (CEO), Aurélien Cord (CTO) and Stéphane Evanno (COO), all have previous experience in driverless technology, gained at top research institutes with a world- class industrial corporation. The company developed Stan, a fully autonomous outdoor parking and valet robot that is now operational at several airports in Europe, including the Lyon Saint-Exupéry airport in France and soon to be at the Gatwick Airport in London. The solution incorporates fully autonomous robots and intelligent storage management software that moves cars into place with efficiency and ease. Location PARIS, FRANCE Manager at Stanley Robotics, explains, "The robot must move fast to handle high traffic flow and precisely to park cars as densely as possible. When looking for an accurate, available and reliable localization solution, Trimble is the company name that comes first." SOLUTION For Stan, the team selected the Trimble BX992 dual-antenna enclosure and two Trimble AV59 GNSS Antennas. The BX992 is installed inside the robot and the two antennas are mounted on the robot's head with maximum separation between them. In order for the robot to attain centimeter- level localization, a Trimble BX992 base and a Trimble Zephyr Antenna are installed at the drop-off cabins where customers leave their cars until robots move them to a more permanent location. The Trimble BX992 base broadcasts RTK corrections over a WiFi link to the robots. In addition, the robot uses two LiDAR scanners and four cameras. Stan relies on LiDAR-based simultaneous localization and mapping (SLAM) techniques to locate the robot and build

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